Scheduling of uplink data using demodulation reference signal and scheduled resources

ABSTRACT

Various embodiments disclosed herein provide for facilitating scheduling of uplink data using demodulation reference signal and scheduled resources. According an embodiment, a system can comprise configuring a network device with a periodic rate of specified sounding reference signals with a periodicity using radio resource control signaling. The system can further facilitate estimating channel state information associated with a channel via which the network device communicates. The system can further facilitate transmitting an uplink grant with uplink transmission parameters to set up a physical uplink shared channel, wherein the uplink transmission parameters are determined based on the channel state information. The system can further facilitate estimating scheduling parameters based on a first estimation information associated with the physical uplink shared channel.

RELATED APPLICATIONS

This application is continuation of, and claims priority to, U.S. patentapplication Ser. No. 16/442,295, dated Jun. 14, 2019, and entitled“SCHEDULING OF UPLINK DATA USING DEMODULATION REFERENCE SIGNAL ANDSCHEDULED RESOURCES,” which applications further claim the benefit ofpriority to U.S. Provisional Patent Application No. 62/806,631, filedFeb. 15, 2019 and titled “SCHEDULING OF UPLINK DATA USING DEMODULATIONREFERENCE SIGNAL AND SCHEDULED RESOURCES,” the entireties of whichapplications are hereby incorporated by reference herein.

TECHNICAL FIELD

This disclosure relates generally to a wireless communication system ingeneral, and to a fifth generation (5G) wireless communication systems.More specifically, facilitating scheduling of uplink data usingdemodulation reference signal and scheduled resources in 5G wirelesscommunication system.

BACKGROUND

5th generation (5G) wireless systems represent a next major phase ofmobile telecommunications standards, also called new radio (NR) access,beyond the current telecommunications standards of 4^(th) generation(4G). In addition to faster peak Internet connection speeds, 5G planningaims at higher capacity than current 4G, allowing a higher number ofmobile broadband users per area unit, and allowing consumption of higheror unlimited data quantities. This would enable a large portion of thepopulation to stream high-definition media many hours per day with theirmobile devices, when out of reach of wireless fidelity hotspots. 5Gresearch and development also aims at improved support ofmachine-to-machine communication, also known as the Internet of things,aiming at lower cost, lower battery consumption, and lower latency than4G equipment.

The above-described background relating to facilitating scheduling ofuplink data using demodulation reference signal and scheduled resourcesis merely intended to provide a contextual overview of some currentissues, and is not intended to be exhaustive. Other contextualinformation may become further apparent upon review of the followingdetailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates a non-limiting example of a wireless communicationsystem in accordance with various aspects and embodiments of the subjectdisclosure.

FIG. 2 illustrates a block diagram of uplink MIMO transmitter inaccordance with various aspects and embodiments described herein.

FIG. 3 illustrates a message sequence chart for uplink data transfer in5G systems in accordance with various aspects and embodiments describedherein.

FIG. 4 illustrates an example of a messaging sequence between UE and gNBin accordance with various aspects and embodiments described herein.

FIG. 5A illustrates an example of rank information (RI) distribution inaccordance with various aspects and embodiments described herein.

FIG. 5B illustrates an example of pre-coding matrix index (PMI)distribution in accordance with various aspects and embodimentsdescribed herein.

FIG. 6 illustrates a block diagram of non-limiting example of methodthat facilitates scheduling of uplink data using demodulation referencesignal and scheduled resources in accordance with various aspects andembodiments described herein.

FIG. 7 illustrates a block diagram of non-limiting example of componentsthat facilitates scheduling of uplink data using demodulation referencesignal and scheduled resources in accordance with various aspects andembodiments described herein.

FIG. 8 illustrates a diagram of an example, non-limiting computerimplemented method that facilitates scheduling of uplink data usingdemodulation reference signal and scheduled resources system inaccordance with one or more embodiments described herein.

FIG. 9 depicts a diagram of an example, non-limiting computerimplemented method that facilitates scheduling of uplink data usingdemodulation reference signal and scheduled resources system inaccordance with one or more embodiments described herein.

FIG. 10 illustrates an example block diagram of an example mobilehandset operable to engage in a system architecture that facilitateswireless communications according to one or more embodiments describedherein.

FIG. 11 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates wirelesscommunications according to one or more embodiments described herein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitatescheduling of uplink data using demodulation reference signal andscheduled resources. For simplicity of explanation, the methods (oralgorithms) are depicted and described as a series of acts. It is to beunderstood and appreciated that the various embodiments are not limitedby the acts illustrated and/or by the order of acts. For example, actscan occur in various orders and/or concurrently, and with other acts notpresented or described herein. Furthermore, not all illustrated acts maybe required to implement the methods. In addition, the methods couldalternatively be represented as a series of interrelated states via astate diagram or events. Additionally, the methods described hereafterare capable of being stored on an article of manufacture (e.g., amachine-readable storage medium) to facilitate transporting andtransferring such methodologies to computers. The term article ofmanufacture, as used herein, is intended to encompass a computer programaccessible from any computer-readable device, carrier, or media,including a non-transitory machine-readable storage medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 5G, Universal MobileTelecommunications System (UMTS), and/or Long Term Evolution (LTE), orother next generation networks, the disclosed aspects are not limited to5G, a UMTS implementation, and/or an LTE implementation as thetechniques can also be applied in 3G, 4G or LTE systems. For example,aspects or features of the disclosed embodiments can be exploited insubstantially any wireless communication technology. Such wirelesscommunication technologies can include UMTS, Code Division MultipleAccess (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access(WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, ThirdGeneration Partnership Project (3GPP), LTE, Third Generation PartnershipProject 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access(HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed DownlinkPacket Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee,or another IEEE 802.XX technology. Additionally, substantially allaspects disclosed herein can be exploited in legacy telecommunicationtechnologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate scheduling ofuplink data using demodulation reference signal and scheduled resources.Facilitating a discontinuous access to unlicensed spectrum can beimplemented in connection with any type of device with a connection tothe communications network (e.g., a mobile handset, a computer, ahandheld device, etc.) any Internet of things (IOT) device (e.g.,toaster, coffee maker, blinds, music players, speakers, etc.), and/orany connected vehicles (cars, airplanes, space rockets, and/or other atleast partially automated vehicles (e.g., drones)). In some embodimentsthe non-limiting term user equipment (UE) is used. It can refer to anytype of wireless device that communicates with a radio network node in acellular or mobile communication system. Examples of UE are targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communication, PDA, Tablet, mobile terminals,smart phone, laptop embedded equipped (LEE), laptop mounted equipment(LME), USB dongles, etc. Note that the terms element, elements andantenna ports can be interchangeably used but carry the same meaning inthis disclosure. The embodiments are applicable to single carrier aswell as to multicarrier (MC) or carrier aggregation (CA) operation ofthe UE. The term carrier aggregation (CA) is also called (e.g.,interchangeably called) “multi-carrier system”, “multi-cell operation”,“multi-carrier operation”, “multi-carrier” transmission and/orreception.

In some embodiments the non-limiting term radio, network node, or simplynetwork node is used for gNB (e.g., 5G base-station). It can refer toany type of network node that serves UE is connected to other networknodes or network elements or any radio node from where UE receives asignal. Examples of radio network nodes are Node B, base station (BS),multi-standard radio (MSR) node such as MSR BS, gNB, eNode B, networkcontroller, radio network controller (RNC), base station controller(BSC), relay, donor node controlling relay, base transceiver station(BTS), access point (AP), transmission points, transmission nodes,remote radio unit (RRU), remote radio head (RRH), nodes in distributedantenna system (DAS), relay device, network node, node device, etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 5G networks. This disclosure can facilitate ageneric channel state information framework design for a 5G network.Certain embodiments of this disclosure can comprise an SDN controllerthat can control routing of traffic within the network and between thenetwork and traffic destinations. The SDN controller can be merged withthe 5G network architecture to enable service deliveries via openapplication programming interfaces (“APIs”) and move the network coretowards an all internet protocol (“IP”), cloud based, and softwaredriven telecommunications network. The SDN controller can work with, ortake the place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

FIG. 1 illustrates a non-limiting example of a wireless communicationsystem 100 in accordance with various aspects and embodiments of thesubject disclosure. In one or more embodiments, system 100 can compriseone or more user equipment UEs 102. The non-limiting term user equipmentcan refer to any type of device that can communicate with a network nodein a cellular or mobile communication system. A UE can have one or moreantenna panels having vertical and horizontal elements. Examples of a UEcomprise a target device, device to device (D2D) UE, machine type UE orUE capable of machine to machine (M2M) communications, personal digitalassistant (PDA), tablet, mobile terminals, smart phone, laptop mountedequipment (LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or comprises a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 104. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 104. Thedashed arrow lines from the network node 104 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 104 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 106 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, millimeter wave networks andthe like. For example, in at least one implementation, system 100 can beor include a large scale wireless communication network that spansvarious geographic areas. According to this implementation, the one ormore communication service provider networks 106 can be or include thewireless communication network and/or various additional devices andcomponents of the wireless communication network (e.g., additionalnetwork devices and cell, additional UEs, network server devices, etc.).The network node 104 can be connected to the one or more communicationservice provider networks 106 via one or more backhaul links 108. Forexample, the one or more backhaul links 108 can comprise wired linkcomponents, such as a T1/E1 phone line, a digital subscriber line (DSL)(e.g., either synchronous or asynchronous), an asymmetric DSL (ADSL), anoptical fiber backbone, a coaxial cable, and the like. The one or morebackhaul links 108 can also include wireless link components, such asbut not limited to, line-of-sight (LOS) or non-LOS links which caninclude terrestrial air-interfaces or deep space links (e.g., satellitecommunication links for navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network device104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G wireless networking features and functionalities. 5G wirelesscommunication networks are expected to fulfill the demand ofexponentially increasing data traffic and to allow people and machinesto enjoy gigabit data rates with virtually zero latency. Compared to 4G,5G supports more diverse traffic scenarios. For example, in addition tothe various types of data communication between conventional UEs (e.g.,phones, smartphones, tablets, PCs, televisions, Internet enabledtelevisions, etc.) supported by 4G networks, 5G networks can be employedto support data communication between smart cars in association withdriverless car environments, as well as machine type communications(MTCs). Considering the drastic different communication needs of thesedifferent traffic scenarios, the ability to dynamically configurewaveform parameters based on traffic scenarios while retaining thebenefits of multi carrier modulation schemes (e.g., OFDM and relatedschemes) can provide a significant contribution to the highspeed/capacity and low latency demands of 5G networks. With waveformsthat split the bandwidth into several sub-bands, different types ofservices can be accommodated in different sub-bands with the mostsuitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks may comprise: increased peak bit rate (e.g., 20 Gbps),larger data volume per unit area (e.g., high system spectralefficiency—for example about 3.5 times that of spectral efficiency oflong term evolution (LTE) systems), high capacity that allows moredevice connectivity both concurrently and instantaneously, lowerbattery/power consumption (which reduces energy and consumption costs),better connectivity regardless of the geographic region in which a useris located, a larger numbers of devices, lower infrastructuraldevelopment costs, and higher reliability of the communications. Thus,5G networks may allow for: data rates of several tens of megabits persecond should be supported for tens of thousands of users, 1 gigabit persecond to be offered simultaneously to tens of workers on the sameoffice floor, for example; several hundreds of thousands of simultaneousconnections to be supported for massive sensor deployments; improvedcoverage, enhanced signaling efficiency; reduced latency compared toLTE.

The upcoming 5G access network may utilize higher frequencies (e.g., >6GHz) to aid in increasing capacity. Currently, much of the millimeterwave (mmWave) spectrum, the band of spectrum between 30 GHz and 300 GHzis underutilized. The millimeter waves have shorter wavelengths thatrange from 10 millimeters to 1 millimeter, and these mmWave signalsexperience severe path loss, penetration loss, and fading. However, theshorter wavelength at mmWave frequencies also allows more antennas to bepacked in the same physical dimension, which allows for large-scalespatial multiplexing and highly directional beamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the third-generation partnershipproject (3GPP) and has been in use (including with LTE), is amulti-antenna technique that can improve the spectral efficiency oftransmissions, thereby significantly boosting the overall data carryingcapacity of wireless systems. The use of multiple-input multiple-output(MIMO) techniques can improve mmWave communications and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems and are planned for use in 5G systems.

To meet the huge demand for data centric applications, currently 3GPP isdiscussing to extend the current 4G standards to 5G also called as newradio (NR) access. The following are some of the requirements for 5Gnetworks: Data rates of several tens of megabits per second should besupported for tens of thousands of users; 1 gigabit per second to beoffered simultaneously to tens of workers on the same office floor;Several hundreds of thousands of simultaneous connections to besupported for massive sensor deployments; Coverage should be improved;Signaling efficiency should be enhanced; and Latency should be reducedsignificantly compared to LTE.

The multiple input multiple output (MIMO), is an advanced antennatechnique to improve the spectral efficiency and thereby boosting theoverall system capacity. The MIMO technique uses a commonly knownnotation (M×N) to represent MIMO configuration in terms number oftransmit (M) and receive antennas (N) on one end of the transmissionsystem. The common MIMO configurations used for various technologiesare: (2×1), (1×2), (2×2), (4×2), (8×2) and (2×4), (4×4), (8×4). Theconfigurations represented by (2×1) and (1×2) are special cases of MIMOknown as transmit and receive diversity.

MIMO systems can significantly increase the data carrying capacity ofwireless systems. MIMO can be used for achieving diversity gain, spatialmultiplexing gain and beamforming gain. For these reasons, MIMO is anintegral part of the 3rd and 4th generation wireless systems. Inaddition, massive MIMO systems are currently under investigation for 5Gsystems.

FIG. 2, illustrates a block diagram of uplink MIMO transmitter inaccordance with various aspects and embodiments described herein.Repetitive description of like elements employed in other embodimentsdescribed herein is omitted for sake of brevity. MIMO transmittercomprises a transport block 204, encoder 206, an interleaver/modulator208, layer mapper 210, pre-coder 212, a group of inverse Fast FourierTransform (IFFT) processor coupled to group of antennas 216 a-t. Asillustrated the uplink multi-antenna transmission in 5G systems up to 4antenna ports (230 a-t). Antennas 216 a-t or the layer mapping ingeneral, be described as a mapping from the output of the datamodulation (e.g., by modulator 208) to the different antenna ports 230a-t. The input to the antenna mapping thus consists of the modulationsymbols (QPSK, 16QAM, 64QAM, 256QAM) determined by interleaver andmodulator 208 corresponding to the transport block 204. The output ofthe antenna mapping (e.g., by layer mapper 210) is a set of symbols foreach antenna port 230 a-t. The symbols of each antenna port aresubsequently applied to the OFDM modulator—that is, mapped to the basicOFDM time-frequency grid corresponding to that antenna port.

Referring now to FIG. 3, illustrated is a message sequence chart foruplink data transfer in 5G systems 300 in accordance with variousaspects and embodiments described herein. Repetitive description of likeelements employed in other embodiments described herein is omitted forsake of brevity. In some embodiments, illustrated herein a messagesequence chart of an uplink transmission for closed loop MIMO. The UE304 transmits a message 308 to gNB 306, wherein the message 308 containsa UE specific sounding reference. From the UE specific soundingreference signals, at block 310 the gNB 306 computes/determines thechannel estimates then computes the parameters needed for channel-stateinformation (CSI) determination. The determination step consists forexample, but not limited to, computing the channel quality indicator(CQI) and/or modulation and coding scheme (MCS), transmit precodingmatrix index (TPMI), transmit rank information (TRI), physical resourceblock (PRB), etc. Once the gNB 306 determines the parameters needed forscheduling uplink data, it will inform these parameters through a grantchannel 312 also called downlink control channel information (PDCCH).Once the UE receives this grant information, the UE transmit the uplinkdata using PUSCH 314.

In some embodiments, the uplink reference signals are predefined signalsoccupying specific resource elements within the uplink time-frequencygrid. There are two types of uplink reference signals that aretransmitted in different ways and used for different purposes by thegNB. In some embodiments, the sounding reference signals (SRS) that canbe reference signals are specifically intended to be used by gNB toacquire CSI and beam specific information. In 5G systems, the SRS is UEspecific, so it can have a significantly lower time/frequency density.The demodulation reference signals (DM-RS or DMRS), can be referencesignals are specifically intended to be used by the gNB for channelestimation for data channel between the gNB and the UE. The label“UE-specific” relates to the fact that each demodulation referencesignal is intended for channel estimation by the gNB from a specific UE.That specific reference signal is then only transmitted within theresource blocks assigned for data traffic channel transmission to thatUE. Since in general the data is pre-coded, the DM-RS is also pre-codedwith the same precoding as that of data.

In some embodiments, the downlink control channel (PDCCH) carriesinformation about the scheduling grants. Typically, this consist ofnumber of MIMO layers scheduled, transport block sizes, modulation foreach codeword, parameters related to HARQ, sub band locations etc. Notethat, all DCI formats may not transmit all the information as shownabove. In general, the contents of PDCCH depends on transmission modeand DCI format. In some embodiments, the following information istransmitted by means of the downlink control information (DCI) format:

Carrier indicator

Identifier for DCI formats

UL/SUL indicator

Bandwidth part indicator

Frequency domain resource assignment

Time domain resource assignment

Frequency hopping flag

Modulation and coding scheme

New data indicator

Redundancy version

HARQ process number

Downlink Assignment Index

TPC command for uplink shared channel

SRS resource indicator

TPMI and number of layers

SRS Request

CSI Request

Antenna port(s)

CBG transmission information

PTRS-DMRS association

DMRS sequence initialization

UL-SCH Indicator

As mentioned above the network node needs to compute the channel qualityand decide about the scheduling parameters for the UE. The network nodeuses uplink sounding reference signal for computing the channel betweenthe UE and the network. The SRS resource consists of either 1, 2 or 4consecutive OFDM symbols as configured by the network. The problems arethat the SRS needs to be transmitted periodically. This involves lot ofoverhead and wastage of resources, this in turn reduces the resourcesallocated for data traffic channel and the current solution is notattractive for eMBB data applications. In addition, with the existingframework for MCS computation involves latency as the UE needs to checkthe SRS (which can be periodic say every 4/8/10 millisecond (msec)) andcompute the channel between the network and the UE and indicate the MCSvia scheduling grant. Hence huge delay is involved in indicating theMCS. This huge delay impacts the delay sensitive applications such asultra-reliable low-latency communication (URLLC). Since URLLC requireslow latency, waiting for next SRS would not be feasible.

In some embodiments, a system and a method that facilitatescomputing/determining the scheduling parameters using the scheduledPUSCH and DMRS is utilized, thereby reducing the overhead fortransmitting sounding reference signal that is required for estimatingthe channel state information. In some embodiments, the network node canconfigure the UE for transmitting sounding reference signal. In someembodiments, since the UE may be transmitting on PUSCH, the network nodecan further estimate the channel state information based on thescheduled PUSCH (e.g., information captured during decoding of PUSCH,such as DMRS and signal-to-interference-and-noise ratio (SINR)). In someembodiments, the network node can further estimate the channel stateinformation based on the DMRS. In some embodiments, the network node canfurther estimate the channel state information based on SINR extractedfrom PUSCH during the decoding of the PUSCH. In some embodiments, thenetwork node can indicate to the UE the scheduling parameters. Theadvantage of the method is that significant gains in the sectorthroughput and cell edge user throughput can be realized as the networkobtains the information about the MCS efficiently. Another advantage isthat reduction in the signaling overhead for the SRS transmission can berealized. Thus, utilizing these resources for data or control channeltransmission improves system capacity significantly.

According an embodiment, a system can comprise a processor and a memorythat stores executable instructions that, when executed by theprocessor, facilitate performance of operations comprising configuring adevice with a periodic rate of specified sounding reference signals witha periodicity using radio resource control signaling. The system canfurther facilitate estimating channel state information associated witha channel via which the network device communicates. The system canfurther facilitate transmitting an uplink grant with uplink transmissionparameters to set up a physical uplink shared channel, wherein theuplink transmission parameters are determined based on the channel stateinformation. The system can further facilitate estimating schedulingparameters based on a first estimation information associated with thephysical uplink shared channel.

According to another embodiment, described herein is a method that cancomprise configuring, by a device comprising a processor, a device witha periodic rate of specified sounding reference signals with aperiodicity using radio resource control signaling. The method canfurther comprise estimating, by the device, channel state information.The method can further comprise transmitting, by the device, an uplinkgrant with uplink transmission parameters to set up an uplinktransmission resource, wherein the uplink transmission parameters aredetermined based on the channel state information. The method canfurther comprise estimating, by the device, scheduling parameters basedon estimation parameters associated with the uplink transmissionresource.

According to yet another embodiment, machine-readable storage medium,comprising executable instructions that, when executed by a processor,facilitate performance of operations, configuring a device with aperiodic rate of specified sounding reference signals with a periodicityusing radio resource control signaling. The machine-readable storagemedium can further comprise estimating channel state informationassociated with a channel via which the network device communicates. Themachine-readable storage medium can further comprise transmitting anuplink grant with uplink transmission parameters to set up a physicaluplink shared channel, wherein the uplink transmission parameters aredetermined based on the channel state information. The machine-readablestorage medium can further comprise estimating parameters based on afirst estimation parameter associated with the physical uplink sharedchannel.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 4, illustrated is an example of a messagingsequence 400 between UE and gNB in accordance with various aspects andembodiments described herein. Repetitive description of like elementsemployed in other embodiments described herein is omitted for sake ofbrevity. In some embodiments, the UE 404 determines the SRS and transmitthe signals 408 to gNB 406. At 410, the gNB uses the SRS tocompute/determine channel state information to determine parameters(e.g., MCS, TPMI, TRI, Power, PRB, etc.) for UL transmission. The UE isprovided these parameters thorough a downlink control channel (e.g.,grant channel) at 412. The UE can use the parameters to establish andbegan using the PUSCH to transmit data. At 414, once the PUSCH isestablished, the UE can begin transmit data on the PUSCH. In someembodiments, at 416, the gNB can computer/determine channel informationand determine UL parameters by utilizing information available orgenerated during decoding of PUSCH. For example, DMRS is provided on thescheduled PUSCH. In some embodiments, the gNB can utilize the DMRS tocomputer UL parameters for UE to use to set up PUSCH without waiting forSRS. In some embodiments, the gNB can capture information determinedduring decoding of PUSCH, such as, but not limited to, SINR. In someembodiments, the gNB can utilize the SINR to computer UL parameters forUE to use to set up PUSCH without waiting for SRS. Since, the PUSCH isestablished and information from the PUSCH can be used to establishPUSCH without requiring SRS, the periodicity of determining andtransmitting of SRS can be extended without impacting latency.

In some embodiments, the network estimates the MCS using DMRS (e.g.,DMRS based estimation) once it estimates the number of layers and TPMIusing SRS. In some embodiments, the network estimates the channel usingDMRS for both PUSCH demodulation as well for MCS computation for thescheduled number of layers and the precoding. Once it estimates thechannel, it computes the SINR using the following expression (forminimum mean square error (MMSE) based detector) and computes the MCS:

SINR_(i) =H _(i) S ⁻¹ H _(i),

S=N ₀ R _(N) +HH ^(H) −H _(i) *H _(i) ^(H)

In the above expression, for each layer SNR is based on rank, wherein“i” is depended on rank, wherein if rank is equal to 1, then “i” isequal to 1. Once the SNR is computed using the above expression, thesystem can determine MCS. In some embodiments, the MCS is determined byfor example, but not limited to, utilizing a lookup table that uses SNRto identify associated MCS. In some embodiments, the network cancontinuously refresh using the scheduled PUSCH or every time a new PUSCHscheduled for a UE. Thus, UE delay executing SRS producer.

In some embodiments, the network can estimate MCS using PUSCH byevaluating output of MMSE detector. Using the output, SNR can bedetermined. Once the SNR is determined, the MCS table can be utilized toestimate MCS.

In some embodiment, if a failure is detected on any packets, the gNB canuse previous information based on SNR and estimate MCS. In someembodiments, when a packet failure occurs, the network utilizes the DMRSbased estimation to estimate MCS. In some embodiments, when a packetfailure occurs, the network utilizes the PUSCH based method to estimateMCS.

Referring now to FIG. 5A, illustrated is an example of rank information(RI) distribution 500 in accordance with various aspects and embodimentsdescribed herein. Repetitive description of like elements employed inother embodiments described herein is omitted for sake of brevity. Asillustrated by 502, the RI does not change over majority of thebandwidth. This will allow gNB to use information from PUSCH to estimatescheduling parameters.

Referring now to FIG. 5B, illustrated is an example of pre-coding matrixindex (PMI) distribution 550 in accordance with various aspects andembodiments described herein. Repetitive description of like elementsemployed in other embodiments described herein is omitted for sake ofbrevity. As illustrated by 502, the PMI does not change over majority ofthe bandwidth. This will allow gNB to use information from PUSCH toestimate scheduling parameters.

In some embodiments, the network can increase the periodicity (UEproviding SRS) from, for example from 4/8/10 msec period to 100+ msecperiod, and use PUSCH to estimate scheduling parameters (e.g., MCS)using DMRS or PUSCH based channel estimation or SINR. The advantage isthat the network can save significant resources by not having togenerate SRS frequently. The saved resources can be used for otherphysical channels or signaling.

Referring now to FIG. 6, illustrated is a block diagram of non-limitingexample of method that facilitates scheduling of uplink data usingdemodulation reference signal and scheduled resources in accordance withvarious aspects and embodiments described herein. Repetitive descriptionof like elements employed in other embodiments described herein isomitted for sake of brevity. Block 602 depicts configuration of SRS withlarge periodicity (e.g., 100 msec period) using radio resource controlsignaling (RRC) or aperiodic SRS with downlink control information(DCI). Block 604 depicts estimating uplink transmission parameter, forexample, the number of layers, TPMI and MCS using SRS, transmitting thePDCCH to the UE (e.g., uplink grant). Block 606 depicts receiving PUSCHand estimating the SINR, channel estimate from PUSCH or DMRS (estimatingchannel state information associated with a channel via which thenetwork device communicates using one or of estimation information, suchas the SINR, channel estimate from PUSCH or DMRS). Block 608 depictsmapping the SINR (based on DMRS or PUSCH) to correct/update MCS andschedule the UE.

FIG. 7 illustrates a block diagram of an example, non-limiting system700 that facilitates scheduling of uplink data using scheduled resourcesin accordance with one or more embodiments described herein. Repetitivedescription of like elements employed in respective embodiments isomitted for sake of brevity. According to some embodiments, the system700 can comprise a network node device 702. In some embodiments, thenetwork node device 702 can also include or otherwise be associated witha memory 704, a processor 706 that executes computer executablecomponents stored in a memory 704. The network node device 702 canfurther include a system bus 708 that can couple various componentsincluding, but not limited to, a configuring component 710, a channelestimating component 712, and a transmitting component 714, parameterestimating component 716, a channel decoding component 718 and a storingcomponent 720.

Aspects of systems (e.g., the network node device 702 and the like),apparatuses, or processes explained in this disclosure can constitutemachine-executable component(s) embodied within machine(s), e.g.,embodied in one or more computer readable mediums (or media) associatedwith one or more machines. Such component(s), when executed by the oneor more machines, e.g., computer(s), computing device(s), virtualmachine(s), etc. can cause the machine(s) to perform the operationsdescribed.

It should be appreciated that the embodiments of the subject disclosuredepicted in various figures disclosed herein are for illustration only,and as such, the architecture of such embodiments are not limited to thesystems, devices, and/or components depicted therein. For example, insome embodiments, the network node device 702 can comprise variouscomputer and/or computing-based elements described herein with referenceto operating environment 1100 and FIG. 11. In several embodiments, suchcomputer and/or computing-based elements can be used in connection withimplementing one or more of the systems, devices, and/or componentsshown and described in connection with FIG. 7 or other figures disclosedherein.

According to several embodiments, the memory 704 can store one or morecomputer and/or machine readable, writable, and/or executable componentsand/or instructions that, when executed by processor 706, can facilitateperformance of operations defined by the executable component(s) and/orinstruction(s). For example, the memory 704 can store computer and/ormachine readable, writable, and/or executable components and/orinstructions that, when executed by the processor 706, can facilitateexecution of the various functions described herein relating to theconfiguring component 710, the channel estimating component 712, thetransmitting component 714, the parameter estimating component 716, thechannel decoding component 718 and the storing component 720.

In several embodiments, the memory 704 can comprise volatile memory(e.g., random access memory (RAM), static RAM (SRAM), dynamic RAM(DRAM), etc.) and/or non-volatile memory (e.g., read only memory (ROM),programmable ROM (PROM), electrically programmable ROM (EPROM),electrically erasable programmable ROM (EEPROM), etc.) that can employone or more memory architectures. Further examples of memory 704 aredescribed below with reference to system memory 1106 and FIG. 11. Suchexamples of memory 704 can be employed to implement any embodiments ofthe subject disclosure.

According to some embodiments, the processor 706 can comprise one ormore types of processors and/or electronic circuitry that can implementone or more computer and/or machine readable, writable, and/orexecutable components and/or instructions that can be stored on thememory 704. For example, the processor 706 can perform variousoperations that can be specified by such computer and/or machinereadable, writable, and/or executable components and/or instructionsincluding, but not limited to, logic, control, input/output (I/O),arithmetic, and/or the like. In some embodiments, processor 706 cancomprise one or more central processing unit, multi-core processor,microprocessor, dual microprocessors, microcontroller, System on a Chip(SOC), array processor, vector processor, and/or another type ofprocessor.

In some embodiments, the processor 706, the memory 704, the configuringcomponent 710, the channel estimating component 712, the transmittingcomponent 714, the parameter estimating component 716, the channeldecoding component 718 and the storing component 720 can becommunicatively, electrically, and/or operatively coupled to one anothervia the system bus 708 to perform functions of the network node device702, and/or any components coupled therewith. In several embodiments,the system bus 708 can comprise one or more memory bus, memorycontroller, peripheral bus, external bus, local bus, and/or another typeof bus that can employ various bus architectures.

In several embodiments, the network node device 702 can comprise one ormore computer and/or machine readable, writable, and/or executablecomponents and/or instructions that, when executed by the processor 706,can facilitate performance of operations defined by such component(s)and/or instruction(s). Further, in numerous embodiments, any componentassociated with the network node device 702, as described herein with orwithout reference to the various figures of the subject disclosure, cancomprise one or more computer and/or machine readable, writable, and/orexecutable components and/or instructions that, when executed by theprocessor 706, can facilitate performance of operations defined by suchcomponent(s) and/or instruction(s). For example, the configuringcomponent 710, and/or any other components associated with the networknode device 702 (e.g., communicatively, electronically, and/oroperatively coupled with and/or employed by network node device 702),can comprise such computer and/or machine readable, writable, and/orexecutable component(s) and/or instruction(s). Consequently, accordingto numerous embodiments, the network node device 702 and/or anycomponents associated therewith, can employ the processor 706 to executesuch computer and/or machine readable, writable, and/or executablecomponent(s) and/or instruction(s) to facilitate performance of one ormore operations described herein with reference to the network nodedevice 702 and/or any such components associated therewith.

In some embodiments, the network node device 702 can facilitateperformance of operations related to and/or executed by the componentsof network node device 702, for example, the processor 706, the memory704, the configuring component 710, the channel estimating component712, the transmitting component 714, the parameter estimating component716, the channel decoding component 718 and the storing component 720.For example, as described in detail below, the network node device 702can facilitate: configuring (e.g., by the configuring component 710) anetwork device with a periodic rate of specified sounding referencesignals with a periodicity using radio resource control signaling;estimating (e.g., by the channel estimating component 712) channel stateinformation associated with a channel via which the network devicecommunicates; transmitting (e.g., by the transmitting component 714) anuplink grant with uplink transmission parameters to set up a physicaluplink shared channel, wherein the uplink transmission parameters aredetermined based on the channel state information; and estimating (e.g.,by the parameter estimating component 716) scheduling parameters basedon a first estimation information associated with the physical uplinkshared channel. The network node device 702 can further facilitatedecoding (e.g., by the channel decoding component 718) data received onthe physical uplink shared channel to determine the first estimationinformation and to estimate a modulation and coding scheme; and storing(e.g., by the storing component 720) a second estimation informationreceived on the physical uplink shared channel, wherein the secondestimation information comprises demodulation reference signals.

In some embodiments, the device and the configuring component 710 cancomprise one or more processors, memory, and electrical circuitry. Insome embodiments, the configuring component 710 can comprise configuringa network device with a periodic rate of specified sounding reference(SRS) signals with a periodicity using radio resource control signaling.In some embodiments, the network node 702 configures the network device(e.g., the UE) to periodically transmit the SRS. The network node 702uses the SRS to compute the channel quality and decide about thescheduling parameters for the UE and uses uplink SRS for computing thechannel between the UE and the network.

In some embodiments, the channel estimating component 712, can compriseone or more processors, memory, and electrical circuitry. In someembodiments, the channel estimating component 712 can compriseestimating channel state information associated with a channel via whichthe network device communicates. In some embodiments, since the UE cantransmit on PUSCH, the network node can further estimate the channelstate information based on the scheduled PUSCH (e.g., informationcaptured during decoding of PUSCH, such as DMRS andsignal-to-interference-and-noise ratio (SINR or SNR)). The advantage ofusing the PUSCH to estimate channel state information versus using theSINR data is that the network node can increase the number of times thechannel state information is estimated, because the PUSCH is transmittedmore frequently than the SINR.

In some embodiments, the transmitting component 714 can comprise one ormore processors, memory, and electrical circuitry. In some embodiments,the transmitting component 714 can comprise transmitting an uplink grantwith uplink transmission parameters to set up a physical uplink sharedchannel, wherein the uplink transmission parameters are determined basedon the channel state information. In some embodiments, upon determiningthe uplink transmission parameters, the network node 702 employing aphysical downlink control channel transmits the uplink transmissionparameter to the specific UE. The uplink parameters are based on theestimated channel state information. For example, the channel stateinformation comprise, but not limited to, computing the channel qualityindicator (CQI) and/or modulation and coding scheme (MCS), transmitprecoding matrix index (TPMI), transmit rank information (TRI), physicalresource block (PRB), etc. Once the network node 702 determines theparameters needed for scheduling uplink resources for a specific networkdevice, the network node 702 will inform these parameters through agrant channel 712 (e.g., downlink control channel information or PDCCH).Once the UE receives this grant information, the network devicetransmits the uplink data using PUSCH.

In some embodiments, the parameter estimating component 716 can compriseone or more processors, memory, and electrical circuitry. In someembodiments, the parameter estimating component 716 can compriseestimating scheduling parameters based on a first estimation informationassociated with the physical uplink shared channel. In some embodiments,the network node 702 can further estimate the channel state informationbased on the scheduled PUSCH (e.g., information captured during decodingof PUSCH, such as DMRS and signal-to-interference-and-noise ratio(SINR)). In some embodiments, the network node can further estimate thechannel state information based on the DMRS. In some embodiments, thenetwork node can further estimate the channel state information based onSINR extracted from PUSCH during the decoding of the PUSCH.

In some embodiments, the channel decoding component 718 can comprise oneor more processors, memory, and electrical circuitry. In someembodiments, the channel decoding component 718 can comprise decodingdata received on the physical uplink shared channel to determine thefirst estimation information and to estimate a modulation and codingscheme. In some embodiments, the PUSCH is decoded to extract informationtransmitted by the UE. In some embodiments, the DMRS (e.g. the firstestimation information) is included in the PUSCH that can be used forestimating scheduled parameters. In some embodiments, the SNIRinformation (e.g., the first information) is extracted upon decoding thePUSCH and used for estimated scheduled parameters.

In some embodiments, the storing component 720 can comprise one or moreprocessors, memory, and electrical circuitry. In some embodiments, thestoring component 720 can comprise storing a second estimationinformation received on the physical uplink shared channel, wherein thesecond estimation information comprises demodulation reference signals.In some embodiments, the DMRS information and/or the SINR information(e.g., either may be the second estimation information depending theinformation used for estimating scheduling parameters) is stored inmemory 704 the event of an uplink failure. In some embodiments, ifnetwork node 702 is not able to decode the current PUSCH (e.g.,failure), the network node 702 can employ the stored information toestimate scheduling parameters without waiting for SRS data (e.g., thedata that is transmitted periodically). The advantage of storinginformation is that during failures, the system can utilize older, butnot outdated, data to estimate scheduling parameters. In someembodiments, the network node may transmit an indication to the networkdevice to request uplink recourse using the stored information (e.g.,either DMRS information and/or the SINR information) or may provide newDMRS information and/or the SINR information.

FIG. 8 depicts a diagram of an example, non-limiting computerimplemented method that facilitates scheduling of uplink data usingdemodulation reference signal and scheduled resources system inaccordance with one or more embodiments described herein. Repetitivedescription of like elements employed in other embodiments describedherein is omitted for sake of brevity. In some examples, flow diagram800 can be implemented by operating environment 1100 described below. Itcan be appreciated that the operations of flow diagram 800 can beimplemented in a different order than is depicted.

In non-limiting example embodiments, a computing device (or system)(e.g., computer 1104) is provided, the device or system comprising oneor more processors and one or more memories that stores executableinstructions that, when executed by the one or more processors, canfacilitate performance of the operations as described herein, includingthe non-limiting methods as illustrated in the flow diagrams of FIG. 8.

Operation 802 depicts configuring, by a device comprising a processor, adevice with a periodic rate of specified sounding reference signals witha periodicity using radio resource control signaling. Operation 804depicts estimating, by the device, channel state information. Operation806 depicts transmitting, by the device, an uplink grant with uplinktransmission parameters to set up an uplink transmission resource (e.g.,physical uplink shared channel), wherein the uplink transmissionparameters are determined based on the channel state information.Operation 808 depicts estimating, by the device, scheduling parametersbased on estimation parameters associated with the uplink transmissionresource.

FIG. 9 depicts a diagram of an example, non-limiting computerimplemented method that facilitates scheduling of uplink data usingdemodulation reference signal and scheduled resources system inaccordance with one or more embodiments described herein. Repetitivedescription of like elements employed in other embodiments describedherein is omitted for sake of brevity. In some examples, flow diagram900 can be implemented by operating environment 1100 described below. Itcan be appreciated that the operations of flow diagram 900 can beimplemented in a different order than is depicted.

In non-limiting example embodiments, a computing device (or system)(e.g., computer 1104) is provided, the device or system comprising oneor more processors and one or more memories that stores executableinstructions that, when executed by the one or more processors, canfacilitate performance of the operations as described herein, includingthe non-limiting methods as illustrated in the flow diagrams of FIG. 9.

Operation 902 depicts configuring, by a device comprising a processor, adevice with a periodic rate of specified sounding reference signals witha periodicity using radio resource control signaling. Operation 904depicts estimating, by the device, channel state information. Operation906 depicts transmitting, by the device, an uplink grant with uplinktransmission parameters to set up an uplink transmission resource,wherein the uplink transmission parameters are determined based on thechannel state information. Operation 908 depicts estimating, by thedevice, scheduling parameters based on estimation parameters associatedwith the uplink transmission resource. Operation 910 depicts decoding,by the device, data received on the uplink transmission resource todetermine the estimation parameters and to select a modulation andcoding scheme.

Referring now to FIG. 10, illustrated is an example block diagram of anexample mobile handset 1000 operable to engage in a system architecturethat facilitates wireless communications according to one or moreembodiments described herein. Although a mobile handset is illustratedherein, it will be understood that other devices can be a mobile device,and that the mobile handset is merely illustrated to provide context forthe embodiments of the various embodiments described herein. Thefollowing discussion is intended to provide a brief, general descriptionof an example of a suitable environment in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the innovation alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules, orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules, or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset includes a processor 1002 for controlling and processing allonboard operations and functions. A memory 1004 interfaces to theprocessor 1002 for storage of data and one or more applications 1006(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 1006 can be stored in the memory 1004 and/or in a firmware1008, and executed by the processor 1002 from either or both the memory1004 or/and the firmware 1008. The firmware 1008 can also store startupcode for execution in initializing the handset 1000. A communicationscomponent 1010 interfaces to the processor 1002 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component1010 can also include a suitable cellular transceiver 1011 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 1013 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 1000 can be adevice such as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 1010 also facilitates communications reception fromterrestrial radio networks (e.g., broadcast), digital satellite radionetworks, and Internet-based radio services networks.

The handset 1000 includes a display 1012 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 1012 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 1012 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface1014 is provided in communication with the processor 1002 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This can support updating andtroubleshooting the handset 1000, for example. Audio capabilities areprovided with an audio I/O component 1016, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 1016 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 1000 can include a slot interface 1018 for accommodating aSIC (Subscriber Identity Component) in the form factor of a cardSubscriber Identity Module (SIM) or universal SIM 1020, and interfacingthe SIM card 1020 with the processor 1002. However, it is to beappreciated that the SIM card 1020 can be manufactured into the handset1000, and updated by downloading data and software.

The handset 1000 can process IP data traffic through the communicationscomponent 1010 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 1000 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 1022 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 1022can aid in facilitating the generation, editing, and sharing of videoquotes. The handset 1000 also includes a power source 1024 in the formof batteries and/or an AC power subsystem, which power source 1024 caninterface to an external power system or charging equipment (not shown)by a power I/O component 1026.

The handset 1000 can also include a video component 1030 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 1030 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 1032 facilitates geographically locating the handset 1000. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 1034facilitates the user initiating the quality feedback signal. The userinput component 1034 can also facilitate the generation, editing andsharing of video quotes. The user input component 1034 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touchscreen, for example.

Referring again to the applications 1006, a hysteresis component 1036facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 1038 can be provided that facilitatestriggering of the hysteresis component 1036 when the Wi-Fi transceiver1013 detects the beacon of the access point. A SIP client 1040 enablesthe handset 1000 to support SIP protocols and register the subscriberwith the SIP registrar server. The applications 1006 can also include aclient 1042 that provides at least the capability of discovery, play andstore of multimedia content, for example, music.

The handset 1000, as indicated above related to the communicationscomponent 1010, includes an indoor network radio transceiver 1013 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 1000. The handset 1000 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

Referring now to FIG. 11, illustrated is an example block diagram of anexample computer 1100 operable to engage in a system architecture thatfacilitates wireless communications according to one or more embodimentsdescribed herein. The computer 1100 can provide networking andcommunication capabilities between a wired or wireless communicationnetwork and a server (e.g., Microsoft server) and/or communicationdevice. In order to provide additional context for various aspectsthereof, FIG. 11 and the following discussion are intended to provide abrief, general description of a suitable computing environment in whichthe various aspects of the innovation can be implemented to facilitatethe establishment of a transaction between an entity and a third party.While the description above is in the general context ofcomputer-executable instructions that can run on one or more computers,those skilled in the art will recognize that the innovation also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the various methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of the innovation can also be practiced indistributed computing environments where certain tasks are performed byremote processing devices that are linked through a communicationsnetwork. In a distributed computing environment, program modules can belocated in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media can embody computer-readable instructions, datastructures, program modules, or other structured or unstructured data ina data signal such as a modulated data signal, e.g., a carrier wave orother transport mechanism, and includes any information delivery ortransport media. The term “modulated data signal” or signals refers to asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in one or more signals. By way ofexample, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

The techniques described herein can be applied to any device or set ofdevices (machines) capable of running programs and processes. It can beunderstood, therefore, that servers including physical and/or virtualmachines, personal computers, laptops, handheld, portable and othercomputing devices and computing objects of all kinds including cellphones, tablet/slate computers, gaming/entertainment consoles and thelike are contemplated for use in connection with various implementationsincluding those exemplified herein. Accordingly, the general-purposecomputing mechanism described below with reference to FIG. 11 is but oneexample of a computing device.

In order to provide a context for the various aspects of the disclosedsubject matter, FIG. 11 and the following discussion, are intended toprovide a brief, general description of a suitable environment in whichthe various aspects of the disclosed subject matter can be implemented.While the subject matter has been described above in the general contextof computer-executable instructions of a computer program that runs on acomputer and/or computer, those skilled in the art will recognize thatthe disclosed subject matter also can be implemented in combination withother program modules. Generally, program modules include routines,programs, components, data structures, etc. that perform particulartasks and/or implement particular abstract data types.

In the subject specification, terms such as “store,” “storage,” “datastore,” data storage,” “database,” and substantially any otherinformation storage component relevant to operation and functionality ofa component, refer to “memory components,” or entities embodied in a“memory” or components comprising the memory. It will be appreciatedthat the memory components described herein can be either volatilememory or nonvolatile memory, or can include both volatile andnonvolatile memory, by way of illustration, and not limitation, volatilememory 1120 (see below), non-volatile memory 1122 (see below), diskstorage 1124 (see below), and memory storage 1146 (see below). Further,nonvolatile memory can be included in read only memory (ROM),programmable ROM (PROM), electrically programmable ROM (EPROM),electrically erasable ROM (EEPROM), or flash memory. Volatile memory caninclude random access memory (RAM), which acts as external cache memory.By way of illustration and not limitation, RAM is available in manyforms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronousDRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM(ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM).Additionally, the disclosed memory components of systems or methodsherein are intended to comprise, without being limited to comprising,these and any other suitable types of memory.

Moreover, it will be noted that the disclosed subject matter can bepracticed with other computer system configurations, includingsingle-processor or multiprocessor computer systems, mini-computingdevices, mainframe computers, as well as personal computers, hand-heldcomputing devices (e.g., PDA, phone, watch, tablet computers, netbookcomputers, . . . ), microprocessor-based or programmable consumer orindustrial electronics, and the like. The illustrated aspects can alsobe practiced in distributed computing environments where tasks areperformed by remote processing devices that are linked through acommunications network; however, some if not all aspects of the subjectdisclosure can be practiced on stand-alone computers. In a distributedcomputing environment, program modules can be located in both local andremote memory storage devices.

FIG. 11 illustrates a block diagram of a computing system 1100 operableto execute the disclosed systems and methods in accordance with anembodiment. Computer 1100, which can be, for example, part of thehardware of system 1120, includes a processing unit 1114, a systemmemory 1106, and a system bus 1118. System bus 1118 couples systemcomponents including, but not limited to, system memory 1106 toprocessing unit 1114. Processing unit 1114 can be any of variousavailable processors. Dual microprocessors and other multiprocessorarchitectures also can be employed as processing unit 1114.

System bus 1118 can be any of several types of bus structure(s)including a memory bus or a memory controller, a peripheral bus or anexternal bus, and/or a local bus using any variety of available busarchitectures including, but not limited to, Industrial StandardArchitecture (ISA), Micro-Channel Architecture (MSA), Extended ISA(EISA), Intelligent Drive Electronics, VESA Local Bus (VLB), PeripheralComponent Interconnect (PCI), Card Bus, Universal Serial Bus (USB),Advanced Graphics Port (AGP), Personal Computer Memory CardInternational Association bus (PCMCIA), Firewire (IEEE 1194), and SmallComputer Systems Interface (SCSI).

System memory 1106 can include volatile memory 1120 and nonvolatilememory 1122. A basic input/output system (BIOS), containing routines totransfer information between elements within computer 1100, such asduring start-up, can be stored in nonvolatile memory 1122. By way ofillustration, and not limitation, nonvolatile memory 1122 can includeROM 1127, PROM, EPROM, EEPROM, or flash memory. Volatile memory 1120includes RAM 1112, which acts as external cache memory. By way ofillustration and not limitation, RAM 1112 is available in many formssuch as SRAM, dynamic RAM (DRAM), synchronous DRAM (SDRAM), double datarate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM(SLDRAM), Rambus direct RAM (RDRAM), direct Rambus dynamic RAM (DRDRAM),and Rambus dynamic RAM (RDRAM).

Computer 1100 can also include removable/non-removable,volatile/non-volatile computer storage media. FIG. 11 illustrates, forexample, disk storage 1124. Disk storage 1124 includes, but is notlimited to, devices like a magnetic disk drive, floppy disk drive, tapedrive, flash memory card, or memory stick. In addition, disk storage1124 can include storage media separately or in combination with otherstorage media including, but not limited to, an optical disk drive suchas a compact disk ROM device (CD-ROM), CD recordable drive (CD-R Drive),CD rewritable drive (CD-RW Drive) or a digital versatile disk ROM drive(DVD-ROM). To facilitate connection of the disk storage devices 1124 tosystem bus 1118, a removable or non-removable interface is typicallyused, such as interface 1126.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, random access memory (RAM), read only memory(ROM), electrically erasable programmable read only memory (EEPROM),flash memory or other memory technology, solid state drive (SSD) orother solid-state storage technology, compact disk read only memory (CDROM), digital versatile disk (DVD), Blu-ray disc or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices or other tangible and/or non-transitorymedia which can be used to store desired information. In this regard,the terms “tangible” or “non-transitory” herein as applied to storage,memory or computer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se. In an aspect,tangible media can include non-transitory media wherein the term“non-transitory” herein as may be applied to storage, memory orcomputer-readable media, is to be understood to exclude only propagatingtransitory signals per se as a modifier and does not relinquish coverageof all standard storage, memory or computer-readable media that are notonly propagating transitory signals per se. For the avoidance of doubt,the term “computer-readable storage device” is used and defined hereinto exclude transitory media. Computer-readable storage media can beaccessed by one or more local or remote computing devices, e.g., viaaccess requests, queries or other data retrieval protocols, for avariety of operations with respect to the information stored by themedium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

It can be noted that FIG. 11 describes software that acts as anintermediary between users and computer resources described in suitableoperating environment 1100. Such software includes an operating system1128. Operating system 1128, which can be stored on disk storage 1124,acts to control and allocate resources of computer 1100. Systemapplications 1130 take advantage of the management of resources byoperating system 1128 through program modules 1132 and program data 1134stored either in system memory 1106 or on disk storage 1124. It is to benoted that the disclosed subject matter can be implemented with variousoperating systems or combinations of operating systems.

A user can enter commands or information into computer 1100 throughinput device(s) 1136. As an example, a mobile device and/or portabledevice can include a user interface embodied in a touch sensitivedisplay panel allowing a user to interact with computer 1100. Inputdevices 1136 include, but are not limited to, a pointing device such asa mouse, trackball, stylus, touch pad, keyboard, microphone, joystick,game pad, satellite dish, scanner, TV tuner card, digital camera,digital video camera, web camera, cell phone, smartphone, tabletcomputer, etc. These and other input devices connect to processing unit1114 through system bus 1118 by way of interface port(s) 1138. Interfaceport(s) 1138 include, for example, a serial port, a parallel port, agame port, a universal serial bus (USB), an infrared port, a Bluetoothport, an IP port, or a logical port associated with a wireless service,etc. Output device(s) 1140 and a move use some of the same type of portsas input device(s) 1136.

Thus, for example, a USB port can be used to provide input to computer1100 and to output information from computer 1100 to an output device1140. Output adapter 1142 is provided to illustrate that there are someoutput devices 1140 like monitors, speakers, and printers, among otheroutput devices 1140, which use special adapters. Output adapters 1142include, by way of illustration and not limitation, video and soundcards that provide means of connection between output device 1140 andsystem bus 1118. It should be noted that other devices and/or systems ofdevices provide both input and output capabilities such as remotecomputer(s) 1144.

Computer 1100 can operate in a networked environment using logicalconnections to one or more remote computers, such as remote computer(s)1144. Remote computer(s) 1144 can be a personal computer, a server, arouter, a network PC, cloud storage, cloud service, a workstation, amicroprocessor based appliance, a peer device, or other common networknode and the like, and typically includes many or all of the elementsdescribed relative to computer 1100.

For purposes of brevity, only a memory storage device 1146 isillustrated with remote computer(s) 1144. Remote computer(s) 1144 islogically connected to computer 1100 through a network interface 1148and then physically connected by way of communication connection 1150.Network interface 1148 encompasses wire and/or wireless communicationnetworks such as local-area networks (LAN) and wide-area networks (WAN).LAN technologies include Fiber Distributed Data Interface (FDDI), CopperDistributed Data Interface (CDDI), Ethernet, Token Ring and the like.WAN technologies include, but are not limited to, point-to-point links,circuit-switching networks like Integrated Services Digital Networks(ISDN) and variations thereon, packet switching networks, and DigitalSubscriber Lines (DSL). As noted below, wireless technologies may beused in addition to or in place of the foregoing.

Communication connection(s) 1150 refer(s) to hardware/software employedto connect network interface 1148 to bus 1118. While communicationconnection 1150 is shown for illustrative clarity inside computer 1100,it can also be external to computer 1100. The hardware/software forconnection to network interface 1148 can include, for example, internaland external technologies such as modems, including regular telephonegrade modems, cable modems and DSL modems, ISDN adapters, and Ethernetcards.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the disclosed subject matter has been described inconnection with various embodiments and corresponding Figures, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

As it employed in the subject specification, the term “processor” canrefer to substantially any computing processing unit or devicecomprising, but not limited to comprising, single-core processors;single-processors with software multithread execution capability;multi-core processors; multi-core processors with software multithreadexecution capability; multi-core processors with hardware multithreadtechnology; parallel platforms; and parallel platforms with distributedshared memory. Additionally, a processor can refer to an integratedcircuit, an application specific integrated circuit (ASIC), a digitalsignal processor (DSP), a field programmable gate array (FPGA), aprogrammable logic controller (PLC), a complex programmable logic device(CPLD), a discrete gate or transistor logic, discrete hardwarecomponents, or any combination thereof designed to perform the functionsdescribed herein. Processors can exploit nano-scale architectures suchas, but not limited to, molecular and quantum-dot based transistors,switches and gates, in order to optimize space usage or enhanceperformance of user equipment. A processor may also be implemented as acombination of computing processing units.

In the subject specification, terms such as “store,” “storage,” “datastore,” data storage,” “database,” and substantially any otherinformation storage component relevant to operation and functionality ofa component, refer to “memory components,” or entities embodied in a“memory” or components comprising the memory. It will be appreciatedthat the memory components described herein can be either volatilememory or nonvolatile memory, or can include both volatile andnonvolatile memory.

As used in this application, the terms “component,” “system,”“platform,” “layer,” “selector,” “interface,” and the like are intendedto refer to a computer-related entity or an entity related to anoperational apparatus with one or more specific functionalities, whereinthe entity can be either hardware, a combination of hardware andsoftware, software, or software in execution. As an example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution, a program,and/or a computer. By way of illustration and not limitation, both anapplication running on a server and the server can be a component. Oneor more components may reside within a process and/or thread ofexecution and a component may be localized on one computer and/ordistributed between two or more computers. In addition, these componentscan execute from various computer readable media, device readablestorage devices, or machine readable media having various datastructures stored thereon. The components may communicate via localand/or remote processes such as in accordance with a signal having oneor more data packets (e.g., data from one component interacting withanother component in a local system, distributed system, and/or across anetwork such as the Internet with other systems via the signal). Asanother example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry, which is operated by a software or firmwareapplication executed by a processor, wherein the processor can beinternal or external to the apparatus and executes at least a part ofthe software or firmware application. As yet another example, acomponent can be an apparatus that provides specific functionalitythrough electronic components without mechanical parts, the electroniccomponents can include a processor therein to execute software orfirmware that confers at least in part the functionality of theelectronic components.

In addition, the term “or” is intended to mean an inclusive “or” ratherthan an exclusive “or.” That is, unless specified otherwise, or clearfrom context, “X employs A or B” is intended to mean any of the naturalinclusive permutations. That is, if X employs A; X employs B; or Xemploys both A and B, then “X employs A or B” is satisfied under any ofthe foregoing instances. Moreover, articles “a” and “an” as used in thesubject specification and annexed drawings should generally be construedto mean “one or more” unless specified otherwise or clear from contextto be directed to a singular form.

Moreover, terms like “user equipment (UE),” “mobile station,” “mobile,”subscriber station,” “subscriber equipment,” “access terminal,”“terminal,” “handset,” and similar terminology, refer to a wirelessdevice utilized by a subscriber or user of a wireless communicationservice to receive or convey data, control, voice, video, sound, gaming,or substantially any data-stream or signaling-stream. The foregoingterms are utilized interchangeably in the subject specification andrelated drawings. Likewise, the terms “access point (AP),” “basestation,” “NodeB,” “evolved Node B (eNodeB),” “home Node B (HNB),” “homeaccess point (HAP),” “cell device,” “sector,” “cell,” “relay device,”“node,” “point,” and the like, are utilized interchangeably in thesubject application, and refer to a wireless network component orappliance that serves and receives data, control, voice, video, sound,gaming, or substantially any data-stream or signaling-stream to and froma set of subscriber stations or provider enabled devices. Data andsignaling streams can include packetized or frame-based flows.

Additionally, the terms “core-network”, “core”, “core carrier network”,“carrier-side”, or similar terms can refer to components of atelecommunications network that typically provides some or all ofaggregation, authentication, call control and switching, charging,service invocation, or gateways. Aggregation can refer to the highestlevel of aggregation in a service provider network wherein the nextlevel in the hierarchy under the core nodes is the distribution networksand then the edge networks. UEs do not normally connect directly to thecore networks of a large service provider but can be routed to the coreby way of a switch or radio area network. Authentication can refer todeterminations regarding whether the user requesting a service from thetelecom network is authorized to do so within this network or not. Callcontrol and switching can refer determinations related to the futurecourse of a call stream across carrier equipment based on the callsignal processing. Charging can be related to the collation andprocessing of charging data generated by various network nodes. Twocommon types of charging mechanisms found in present day networks can beprepaid charging and postpaid charging. Service invocation can occurbased on some explicit action (e.g. call transfer) or implicitly (e.g.,call waiting). It is to be noted that service “execution” may or may notbe a core network functionality as third party network/nodes may takepart in actual service execution. A gateway can be present in the corenetwork to access other networks. Gateway functionality can be dependenton the type of the interface with another network.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,”“prosumer,” “agent,” and the like are employed interchangeablythroughout the subject specification, unless context warrants particulardistinction(s) among the terms. It should be appreciated that such termscan refer to human entities or automated components (e.g., supportedthrough artificial intelligence, as through a capacity to makeinferences based on complex mathematical formalisms), that can providesimulated vision, sound recognition and so forth.

Aspects, features, or advantages of the subject matter can be exploitedin substantially any, or any, wired, broadcast, wirelesstelecommunication, radio technology or network, or combinations thereof.Non-limiting examples of such technologies or networks include Geocasttechnology; broadcast technologies (e.g., sub-Hz, ELF, VLF, LF, MF, HF,VHF, UHF, SHF, THz broadcasts, etc.); Ethernet; X.25; powerline-typenetworking (e.g., PowerLine AV Ethernet, etc.); femto-cell technology;Wi-Fi; Worldwide Interoperability for Microwave Access (WiMAX); EnhancedGeneral Packet Radio Service (Enhanced GPRS); Third GenerationPartnership Project (3GPP or 3G) Long Term Evolution (LTE); 3GPPUniversal Mobile Telecommunications System (UMTS) or 3GPP UMTS; ThirdGeneration Partnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB);High Speed Packet Access (HSPA); High Speed Downlink Packet Access(HSDPA); High Speed Uplink Packet Access (HSUPA); GSM Enhanced DataRates for GSM Evolution (EDGE) Radio Access Network (RAN) or GERAN; UMTSTerrestrial Radio Access Network (UTRAN); or LTE Advanced.

What has been described above includes examples of systems and methodsillustrative of the disclosed subject matter. It is, of course, notpossible to describe every combination of components or methods herein.One of ordinary skill in the art may recognize that many furthercombinations and permutations of the disclosure are possible.Furthermore, to the extent that the terms “includes,” “has,”“possesses,” and the like are used in the detailed description, claims,appendices and drawings such terms are intended to be inclusive in amanner similar to the term “comprising” as “comprising” is interpretedwhen employed as a transitional word in a claim.

Performing aggregation above the RLC makes it possible to perform therouting and aggregation at the same protocol sublayer. Thus, additionalpossibilities in terms of taking into account routing information whileperforming bearer aggregation can be used to facilitate a more efficientsystem. Additionally, it also reduces the impact on standards for lowerprotocol stack layers. Similarly, the benefits of performing aggregationbelow the RLC are that it can reduce the demand for LCID space extensionwhen trying to support 1:1 mapping of UE bearers to backhaul channels.

While the various embodiments are susceptible to various modificationsand alternative constructions, certain illustrated implementationsthereof are shown in the drawings and have been described above indetail. It should be understood, however, that there is no intention tolimit the various embodiments to the specific forms disclosed, but onthe contrary, the intention is to cover all modifications, alternativeconstructions, and equivalents falling within the spirit and scope ofthe various embodiments.

In addition to the various implementations described herein, it is to beunderstood that other similar implementations can be used ormodifications and additions can be made to the describedimplementation(s) for performing the same or equivalent function of thecorresponding implementation(s) without deviating therefrom. Stillfurther, multiple processing chips or multiple devices can share theperformance of one or more functions described herein, and similarly,storage can be effected across a plurality of devices. Accordingly, theinvention is not to be limited to any single implementation, but ratheris to be construed in breadth, spirit and scope in accordance with theappended claims.

What is claimed is:
 1. A method, comprising: determining, by networkequipment comprising a processor, that a physical uplink shared channelis unable to be decoded before a next transmission of soundingreferences signals from a user equipment; and estimating, by the networkequipment, scheduling parameters based on previous estimationinformation determined based on decoding previous data received on thephysical uplink shared channel after a previous transmission of soundingreferences signals from the user equipment.
 2. The method of claim 1,selecting, by the network equipment, a modulation and coding scheme ofthe scheduling parameters based on the previous estimation information.3. The method of claim 2, wherein the previous estimation informationcomprises demodulation reference signals andsignal-to-interference-and-noise information, and wherein selecting themodulation and coding scheme is based on the demodulation referencesignals and the signal-to-interference-and-noise information.
 4. Themethod of claim 1, wherein the previous estimation information comprisesa demodulation reference signal, and wherein estimating the schedulingparameters is based on the demodulation reference signal.
 5. The methodof claim 1, wherein the previous estimation information comprisessignal-to-interference-and-noise information, and wherein estimating thescheduling parameters is based on the signal-to-interference-and-noiseinformation.
 6. The method of claim 1, receiving, by the networkequipment, periodic transmissions of sounding references signals fromthe user equipment.
 7. The method of claim 6, wherein the periodictransmissions occur at a first periodicity, and further comprising, inresponse to determining that the physical uplink shared channel isunable to be decoded before the next transmission of sounding referencessignals from the user equipment, configuring, by the network equipment,the user equipment with a second periodicity for the periodictransmissions that is longer than the first periodicity.
 8. Networkequipment, comprising: a processor; and a memory that stores executableinstructions that, when executed by the processor, facilitateperformance of operations, comprising: determining that a physicaluplink shared channel is unable to be decoded before an upcomingtransmission of sounding references signals from a user equipment; andestimating scheduling parameters based on stored estimation informationpreviously determined based on a result of decoding data received on thephysical uplink shared channel after a previous transmission of soundingreferences signals from the user equipment.
 9. The network equipment ofclaim 8, wherein estimating the scheduling parameters comprises choosinga modulation and coding scheme based on the stored estimationinformation.
 10. The network equipment of claim 9, wherein the storedestimation information comprises demodulation reference signals andsignal-to-interference-and-noise information, and wherein choosing themodulation and coding scheme is based on the demodulation referencesignals and the signal-to-interference-and-noise information.
 11. Thenetwork equipment of claim 8, wherein the stored estimation informationcomprises a demodulation reference signal, and wherein estimating thescheduling parameters is based on the demodulation reference signal. 12.The network equipment of claim 8, wherein the stored estimationinformation comprises signal-to-interference-and-noise information, andwherein estimating the scheduling parameters is based on thesignal-to-interference-and-noise information.
 13. The network equipmentof claim 8, wherein the operations further comprise receiving periodictransmissions of sounding references signals from the user equipment.14. The network equipment of claim 13, wherein the periodictransmissions occur at a first interval, and the operations furthercomprise, in response to determining that the physical uplink sharedchannel is unable to be decoded before the upcoming transmission ofsounding references signals from the user equipment, configuring, by thenetwork equipment, the user equipment with a second interval for theperiodic transmissions that is longer than the first interval.
 15. Anon-transitory machine-readable medium, comprising executableinstructions that, when executed by a processor of network equipment,facilitate performance of operations, comprising: determining that aphysical uplink shared channel is unable to be decoded before aforthcoming transmission of sounding references signals from a userequipment; and estimating scheduling parameters based on retainedestimation information previously determined based on decoding datapreviously received on the physical uplink shared channel after aprevious transmission of sounding references signals from the userequipment.
 16. The non-transitory machine-readable medium of claim 15,wherein estimating the scheduling parameters comprises choosing amodulation and coding scheme based on the retained estimationinformation.
 17. The non-transitory machine-readable medium of claim 16,wherein the retained estimation information comprises demodulationreference signals and signal-to-interference-and-noise information, andwherein choosing the modulation and coding scheme is based on thedemodulation reference signals and the signal-to-interference-and-noiseinformation.
 18. The non-transitory machine-readable medium of claim 15,wherein the retained estimation information comprises a demodulationreference signal, and wherein estimating the scheduling parameters isbased on the demodulation reference signal.
 19. The non-transitorymachine-readable medium of claim 15, wherein the retained estimationinformation comprises signal-to-interference-and-noise information, andwherein estimating the scheduling parameters is based on thesignal-to-interference-and-noise information.
 20. The non-transitorymachine-readable medium of claim 15, wherein the operations furthercomprise: receiving periodic transmissions of sounding referencessignals from the user equipment at a first rate; and in response todetermining that the physical uplink shared channel is unable to bedecoded before the forthcoming transmission of sounding referencessignals from the user equipment, configuring the user equipment with asecond rate for the periodic transmissions that is slower than the firstrate.